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		<doi>10.1109/FUZZ-IEEE.2012.6251149</doi>
		<isbn>978-146731506-7</isbn>
		<issn>10987584</issn>
		<label>lattes: 8073731810160654 2 SandriMendMart:2012:CaSt</label>
		<citationkey>SandriMendMart:2012:CaSt</citationkey>
		<title>Weighted Fuzzy Similarity Relations Case-Based Reasoning: a Case Study</title>
		<year>2012</year>
		<secondarytype>PRE CI</secondarytype>
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		<author>Sandri, Sandra Aparecida,</author>
		<author>Mendonça, Jonas Henrique,</author>
		<author>Martins-Bedê, Flávia,</author>
		<group>LAC-CTE-INPE-MCTI-GOV-BR</group>
		<group>LAC-CTE-INPE-MCTI-GOV-BR</group>
		<group>LAC-CTE-INPE-MCTI-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>jonas.henrique01@gmail.com</electronicmailaddress>
		<e-mailaddress>jonas.henrique01@gmail.com</e-mailaddress>
		<conferencename>IEEE International Conference on Fuzzy Systems.</conferencename>
		<conferencelocation>Brisbane</conferencelocation>
		<date>10-15 June</date>
		<publisher>IEEE</publisher>
		<volume>Article number6251149</volume>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Paper</tertiarytype>
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		<keywords>Basic principles, CBr, Classification tasks, Fuzzy similarity relation, Gradual rules, Implication operators, Prevalence estimation, Problem description, Training strategy.</keywords>
		<abstract>This paper describes a fuzzy similarity relation approach to Case-Based Reasoning. Residuated implication operators are used to create a fuzzy resemblance relation between cases, modeling the CBR basic principle the more similar the problem descriptions are, "the more similar the solution descriptions are" as a fuzzy gradual rule. We take the classification of Schistosomiasis prevalence estimation in a region of Brazil as case study, in order to investigate the effects in such a framework of weighting cases individually in classification tasks, considering a set of training strategies.</abstract>
		<area>COMP</area>
		<language>en</language>
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